{
  "$type": "site.standard.document",
  "description": "A hybrid neural network for rider satisfaction includes a first neural network to detect a detected satisfaction state of a rider occupying a vehicle through analysis of data gathered from sensors deployed in the vehicle for gathering physiological conditions of the rider. The hybrid neural network…",
  "path": "/patents/1287162",
  "publishedAt": "2021-04-01T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "G01C21/3469",
    "STRONG FORCE INTELLECTUAL CAPITAL, LLC"
  ],
  "textContent": "A hybrid neural network for rider satisfaction includes a first neural network to detect a detected satisfaction state of a rider occupying a vehicle through analysis of data gathered from sensors deployed in the vehicle for gathering physiological conditions of the rider. The hybrid neural network further includes a second neural network to optimize, for achieving a favorable satisfaction state of the rider, an operational parameter of the vehicle in response to the detected satisfaction state of the rider.",
  "title": "HYBRID NEURAL NETWORK FOR RIDER SATISFACTION"
}